Digital Linear Discrete FMCW Radar for Healthcare Applications

Mercuri, Marco; Liu, Yao‐Hong; Sheelavant, Sunil; Polito, Salvatore; Torfs, Tom; Hoof, Chris Van

doi:10.1109/mwsym.2019.8701012

Cited by 15 publications

(6 citation statements)

References 7 publications

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“…The core element is represented by the imec's 8-GHz UWB radar IC (integrated circuit), which is based on a digital linear discrete FMCW (LD-FMCW) architecture. An LD-FMCW radar is essentially a linear FMCW with the benefit of the digital implementation [37]. The chip, fabricated in 40 nm CMOS, integrates the LD-FMCW source, a mixer, a low-noise amplifier (LNA), an active band pass filter (BPF), and a 9-b analog-to-digital converter (ADC).…”

Section: A Radar Architecturementioning

confidence: 99%

2-D Localization, Angular Separation and Vital Signs Monitoring Using a SISO FMCW Radar for Smart Long-Term Health Monitoring Environments

Mercuri

Sacco

Hornung

et al. 2021

IEEE Internet Things J.

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Section: A Radar Architecturementioning

confidence: 99%

2-D Localization, Angular Separation and Vital Signs Monitoring Using a SISO FMCW Radar for Smart Long-Term Health Monitoring Environments

Mercuri

Sacco

Hornung

et al. 2021

IEEE Internet Things J.

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“…Due to the deactivation of all radar circuits out of the burst-chirp duration, the power consumption was reduced more than 30 times to a record-low of 680μW . This radar has the capability of detecting human respiration at a distance of 15 m and heart beat detection at a distance of 5 m. The authors in [61] demonstrated the application of this chip on multi-people tracking and vital sign detection. The frequency used in FMCW radars ranges from an initial frequency and is then swept over a period of time to arrive at the final frequency.…”

Section: Fmcw Radarmentioning

confidence: 99%

A Survey on Vital Signs Detection Using Radar Techniques and Processing With FPGA Implementation

Obadi

Soh

Aldayel

et al. 2021

IEEE Circuits Syst. Mag.

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This paper presents a survey of the state-of-the-art advances in human vital signs detection using radar sensors, their integration and coexistence with communication systems, and their issues in spectrum sharing. The focus of this survey is to review the detection, monitoring, and tracking of vital signs, specifically the respiration rate and heartbeat rate over the recent five years. It is observed that in line with technological advancements, a multitude of radar types operating in a diverse frequency spectra have been introduced with different hardware implementations, considering various detection scenarios, and applying multiple signal processing algorithms. The aim of these researches varies, from enhancing the detection accuracy, improving the processing speed, reducing the power consumption, simplifying the hardware used, lowering implementation costs, and the combinations of them. Besides that, this review also focuses on literature aimed at increasing the detection accuracy and reducing the processing time using FPGAs, prior to benchmarking them against other processing platforms. Finally, a perspective on the future of human vital signs detection using radar sensors concludes this review.

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“…Radars are used for a wide variety of applications in the fields of meteorology [1,2], healthcare [3][4][5], mapping and astronomy [6,7], law enforcement [8], and defence [9][10][11][12][13]. It is impossible to fully test a complex radar system across all hardware and environmental combinations in the real world.…”

Section: Introductionmentioning

confidence: 99%

Whole system radar modelling: Simulation and validation

Kannanthara

Griffiths

Jahangir

et al. 2023

IET Radar Sonar & Navi

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The ever-expanding horizon of radar applications demands solutions with high-end radar functionalities and technologies and is often limited by the available radar equipment, cost and time. A practical method to tackle the situation is to rely on the modelling and simulation of radar systems based on the user requirements. The comprehensive systemlevel modelling of a pulsed Doppler radar in MATLAB/Simulink consisting of all the fundamental blocks in the transmit chain, the environment, the receive chain, and the data processing chain is presented in this article. The first half of the article discusses the high-fidelity simulation of each building block in the radar model. In the second half of the article, the range-Doppler plot generated from the high-fidelity radar model is compared and validated using the range-Doppler plot from a real radar trial. The radar phase noise plays a crucial role in the detection of slowly moving, low radar cross-section targets in the presence of strong clutter. The article also briefly discusses the effects of radar oscillator phase noise in the range-Doppler plot. The validated, fully flexible radar model has the advantage of supporting the addition of further building blocks and optimising the parameters based on user requirements.

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Digital Linear Discrete FMCW Radar for Healthcare Applications

Cited by 15 publications

References 7 publications

2-D Localization, Angular Separation and Vital Signs Monitoring Using a SISO FMCW Radar for Smart Long-Term Health Monitoring Environments

2-D Localization, Angular Separation and Vital Signs Monitoring Using a SISO FMCW Radar for Smart Long-Term Health Monitoring Environments

A Survey on Vital Signs Detection Using Radar Techniques and Processing With FPGA Implementation

Whole system radar modelling: Simulation and validation

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